r-phenotest on AUR (Arch User Repository)
Last updated: May 18,2024
1. Install "r-phenotest" effortlessly via AUR with the help of a helper(YAY)
a. Install YAY (https://github.com/Jguer/yay)
$
sudo pacman -S --needed git base-devel && git clone https://aur.archlinux.org/yay.git && cd yay && makepkg -si
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b. Install r-phenotest on Arch using YAY
$
yay -S
r-phenotest
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* (Optional) Uninstall r-phenotest on Arch using YAY
$
yay -Rns
r-phenotest
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2. Manually Install "r-phenotest" via AUR
a. Ensure you have the base development tools and git installed with:
$
sudo pacman -S --needed
base-devel git
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b. Clone r-phenotest's git locally
$
git clone https://aur.archlinux.org/r-phenotest.git
~/r-phenotest
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c. Go to ~/r-phenotest folder and install it
$
cd
~/r-phenotest
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$
makepkg -si
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3. Information about the r-phenotest package on Arch User Repository (AUR)
ID: 1341170
Name: r-phenotest
PackageBaseID: 181734
PackageBase: r-phenotest
Version: 1.50.0-1
Description: Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.
URL: https://bioconductor.org/packages/phenoTest
NumVotes: 0
Popularity: 0
OutOfDate:
Maintainer: BioArchLinuxBot
Submitter: BioArchLinuxBot
FirstSubmitted: 1654511011
LastModified: 1698302718
URLPath: /cgit/aur.git/snapshot/r-phenotest.tar.gz
Name: r-phenotest
PackageBaseID: 181734
PackageBase: r-phenotest
Version: 1.50.0-1
Description: Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.
URL: https://bioconductor.org/packages/phenoTest
NumVotes: 0
Popularity: 0
OutOfDate:
Maintainer: BioArchLinuxBot
Submitter: BioArchLinuxBot
FirstSubmitted: 1654511011
LastModified: 1698302718
URLPath: /cgit/aur.git/snapshot/r-phenotest.tar.gz